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Mwnthai
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bodo-legal-judgment-summarization

id stringlengths 1 4	language stringclasses 1 value	domain stringclasses 1 value	judgment stringlengths 11 88.6k	summary stringlengths 12 30.6k
625	Bodo	Legal	इमिनल आपिल नं। 1958 नि 76. क्रिमिनल आपिल नं. आव पाटना गोजौ बिजिरसालिनि 4 मार्च, 1958 नि बिजिरथि आरो बिथोननिफ्राय जर 'खा जिरायनायजों आपिल। 1958 नि 50 आरो डेथ रेफारेन्स नं। 1958 नि 3 आ 18 जानुआरि, 1958 नि बिजिरथि आरो बिथोननिफ्राय ओंखारो, जाय सेसन्स ट्रायल नं. 1957 नि xc. बि. आर. एल. अयंगर, आर 'जलाइगिरिनि थाखाय। 1338 आर. ...	आर 'जलाइगिरिनि सायाव सासे आइजो बैसाखीखौ बुथारनायनि दाय होनाय जादोंमोन। थैनायनि उन्दै बिब 'आघानीजों होजानाय खौरांनि सायाव, थैनायनि खर' गैयै देहाखौ फिन खोबथेनाय जादोंमोन। आर 'जलाइगिरिआ खारलांदोंमोन नाथाय गुबुन गामियाव मोन्नाय जादोंमोन आरो गामिनि मावसोमग्रा सान्थ्रिजों लाबोफिन्नाय जादोंमोन। मुखिया, सारपान्च आरो ग्राम पञ्च...
5381	Bodo	Legal	जर 'खा जिरायनाय आर' जलाइ (नोगोरारि) नं। 1987 नि 2802। 408 अक्ट 'नि बिजिरथि आरो बिथोननिफ्राय 24.12। 1986 आव एफ. ए. नं. आव गुजरात गोजौ बिजिरसालिनि। 1986 नि 1379। आर. आर. नि थाखाय एस. के. ढोलकिया, आर. सी. भाटिया आरो पी. सी. कपूर। बिजिरगिरिफोरनि थाखाय सी. एस. वैद्यनाथन। बिजिरसालिनि बिथोनखौ वेंकटरमैया, जे. आ होदोंमोन। बे मा...	थैनायनि मददगिरि बिदा-फंबायफोरा मोनसे खैफोदआव गावसोरनि फंबायनि थैनायनि थाखाय खहा दाबि खालामनानै मटर एक्सिडेन्ट क्लेइम ट्रिब्युनलनि सिगाङाव मोनसे आर 'जलाइ दाखिल खालामदोंमोन, मानोना बिसोर दाबि खालामग्राफोरनो rs.32,000 नि खहा होनायनि बिथोन होदोंमोन, आरो गुजरात रायजो लामा रोगाथाइ निगमखौ दाबि खालामग्राफोरनो मुंख' नाय बिबांखौ...
359	Bodo	Legal	"आपिल नं। 1954 नि 1954. रिभिजन नं. आव इवेक्युइ(...TRUNCATED)	"आपिल खालामग्राया, लाहौरनिफ्राय जायग(...TRUNCATED)
160	Bodo	Legal	"इमिनल आपिल नं। 1952 नि 92. भारतनि संबिजुनि (...TRUNCATED)	"माद्रास फान्नाय खाजोना आइन, 1939 नि सिङा(...TRUNCATED)
5448	Bodo	Legal	"दिभिनल आपिल नं। 1983 मायथाइनि 8295। 29 अक्ट '(...TRUNCATED)	"आर 'जलाइगिरि न' बिगुमाया, सासे देहा फाह(...TRUNCATED)
91	Bodo	Legal	"1951 मायथाइनि 297. भारतनि संबिजुनि दफा 32 नि (...TRUNCATED)	"बांगाल 'र सोहोराव आर' जलाइगिरिनि गंसे (...TRUNCATED)
5103	Bodo	Legal	"दिभिनल आपिल नं। 1972 नि 1041 आरो 1975 नि 578 आ 1958 न(...TRUNCATED)	"आर 'जलाइफोरा बे सोंनायखौ जौगाहोयो दि (...TRUNCATED)
6952	Bodo	Legal	"दिभिनल आपिल नं। इं 1980 माइथायनि 2593 2599. एम. (...TRUNCATED)	"केराला सोरखारा आयेननि राहाफोरखौ मोन(...TRUNCATED)
97	Bodo	Legal	"एनः क्रिमिनल आपिल नं। 1950 मायथाइनि 26. 13 न(...TRUNCATED)	"\"जाग्रा मुवा\" सोदोबा रोखा नङा। मोनसे (...TRUNCATED)
5923	Bodo	Legal	"सायावः दिभिनल आपिल नं। 1989 नि 156164। c.w.j.c आव (...TRUNCATED)	"क्लज 4 आव बुंनाय जादों दि बाहायग्राया (...TRUNCATED)

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Bodo Legal Judgment Summarization Dataset

Overview

This dataset contains Bodo-language legal judgments paired with their corresponding summaries. It is intended for research on automatic legal text summarization, low-resource NLP, and Bodo language modeling.

Dataset Structure

Each example contains:

id: Document identifier corresponding to the original TXT filenames.
language: Language of the document (Bodo).
domain: Domain (Legal).
judgment: Full legal judgment text in Bodo.
summary: Corresponding summary in Bodo.

Data Provenance and Credit

This Bodo dataset is a translated/adapted version of the legal case document summarization data released by Shukla et al. (2022).

The original dataset is associated with the work:

Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, and Saptarshi Ghosh. (2022). Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022), pp. 1048–1064. DOI: 10.18653/v1/2022.aacl-main.77

The original legal summarization dataset is available through Zenodo:

https://zenodo.org/records/7152317

The corresponding research paper is available through the ACL Anthology:

https://aclanthology.org/2022.aacl-main.77/

The original Zenodo repository describes three legal summarization datasets, including IN-Abs, which contains Indian Supreme Court case documents and abstractive summaries. This repository uses the relevant source material as the basis for a Bodo-language translation/adaptation.

Transformation

The original source material was translated into Bodo for research on low-resource Indian-language legal summarization. The Bodo text in this repository should therefore be considered a derived/translated dataset, rather than an independently collected original legal corpus.

Users of this dataset should cite both the original dataset and the associated paper when using the Bodo data in research.

Original Sources

Zenodo dataset: https://doi.org/10.5281/zenodo.7152317
ACL Anthology paper: https://doi.org/10.18653/v1/2022.aacl-main.77

Dataset Splits

The documents were split at the document level using a fixed random seed (42), so a judgment and its corresponding summary always remain in the same split.

Split	Examples
Train	5,511
Validation	688
Test	690
Total	6,889

Intended Uses

The dataset may be useful for:

Bodo legal text summarization
Abstractive summarization
Low-resource NLP research
Bodo language model fine-tuning
Legal NLP
Cross-lingual and multilingual summarization research

Data Format

The dataset is provided in JSON Lines (JSONL) format, with one judgment-summary pair per line.

Example:

{
  "id": "001",
  "language": "Bodo",
  "domain": "Legal",
  "judgment": "Full Bodo legal judgment...",
  "summary": "Corresponding Bodo summary..."
}

Loading the Dataset

from datasets import load_dataset

dataset = load_dataset("YOUR_USERNAME/bodo-legal-judgment-summarization")

print(dataset)
print(dataset["train"][0])

Citation

If you use this Bodo dataset, please cite the original work:

@inproceedings{shukla-etal-2022-legal,
    title = "Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation",
    author = "Shukla, Abhay and
              Bhattacharya, Paheli and
              Poddar, Soham and
              Mukherjee, Rajdeep and
              Ghosh, Kripabandhu and
              Goyal, Pawan and
              Ghosh, Saptarshi",
    booktitle = "Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing",
    pages = "1048--1064",
    year = "2022",
    publisher = "Association for Computational Linguistics",
    doi = "10.18653/v1/2022.aacl-main.77"
}

Licensing and Redistribution

The appropriate license for this derived dataset should be selected only after confirming the redistribution rights and terms applicable to the original source material and the Bodo translations. Do not assume that translation alone creates unrestricted redistribution rights.

Users should consult the original Zenodo record and the applicable source terms before redistributing the underlying legal documents.

Acknowledgement

This resource was prepared to support research and development of Bodo-language NLP resources, particularly for legal text summarization. Credit is given to the original dataset creators and authors listed above, whose work provided the source material for this Bodo translation/adaptation.

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